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Construct a scatter plot from a given set of data and write a regression equation to predict a value not given in the data set.
Solve the following:
Consider the following data that compares the Consumer Price Index (CPI) with subway fare in a particular city.
CPI
30.2
48.3
112.3
162.2
191.9
197.8
Subway Fare
0.15
0.35
1.0
1.35
1.50
2.00
Using the given data, construct a scatter plot with CPI as the independent variable(x) and subway fare as the dependent variable (y)
Write the regression equation that predicts subway fare in terms of CPI
Using the equation found in Part b, find the best predicted cost of subway fare when the CPI is 182.5
A study wants to examine the relationship between student anxiety for an exam and the number of hours studied. The data is as follows:
whenever the population standard deviation is unknown and the population has a normal or near-normal distribution which
The population variances are 4.6 and 5.0 respectively. Using a level of significance of .05, is there evidence that the dual degree students are receiving lower grades?
an experimenter has prepared a drug dosge level that she claims will induce sleep for 80 of the people suffering from
For a new HDTV the mean number of months until repairs are needed is 36.84 with a standard deviation of 3.34 months.
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
Determine the coefficient of correlation. Interpret the relationship between BAC and age using the correlation coefficient. Determine the coefficient of determination. Interpret.
If a difference exists in the means, wage adjustments must be made to bring the lower wages up to the level of the higher ones. Given the sample data on hourly pay below, what adjustments are called for?
Find the area of the indicated region under the standard normal curve.
Suppose that past data are not available for developing a planning value for p; therefore, you will use p = 0.050 for the planning average.
When sampling is done for the proportion of defective items in a large shipment, where the population proportion is 0.18 and the sample size is 200, what is the probability that the sample proportion will be at least 0.20?
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
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